This edition of the Radar introduces several new tools for creating web applications that help end users visualize and interact with data. These are more than simple visualization libraries such as D3. Instead, they reduce the effort necessary to build standalone analytic applications for manipulating existing data sets. Dash from Plotly is gaining popularity among data scientists for creating richly functional analytics applications in Python. Dash augments Python data libraries much like Shiny sits on top of R. These applications are sometimes referred to as dashboards, but the range of possible functionality is really much greater than the term implies. Dash is particularly suited to building scalable, production-ready applications, unlike Streamlit, another tool in this class. Consider using Dash when you need to present more sophisticated analyses to business users than a low- or no-code solution such as Tableau can provide.